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Found 9 papers, 0 papers with code
An Execution-time-certified Riccati-based IPM Algorithm for RTI-based Input-constrained NMPC
The execution-time certified capability of the algorithm is theoretically and numerically validated through a case study involving nonlinear control of the chaotic Lorenz system.
Nonparametric Steady-state Learning for Robust Output Regulation of Nonlinear Output Feedback Systems
This article addresses the nonadaptive and robust output regulation problem of the general nonlinear output feedback system with error output.
A nonparametric learning framework for nonlinear robust output regulation
An explicit continuous nonlinear mapping was constructed recently in [1] under the assumption that the steady-state generator is linear in the exogenous signal.
Nonlinear Bipartite Output Regulation with Application to Turing Pattern
In this paper, a bipartite output regulation problem is solved for a class of nonlinear multi-agent systems subject to static signed communication networks.
Distributed State Estimation for Jointly Observable Linear Systems over Time-varying Networks
This paper deals with a distributed state estimation problem for jointly observable multi-agent systems operated over various time-varying network topologies.
Distributed State Estimation for Linear Time-invariant Systems with Aperiodic Sampled Measurement
This paper deals with the state estimation of linear time-invariant systems using distributed observers with local sampled-data measurement and aperiodic communication.
Learning nonlinear dynamics in synchronization of knowledge-based leader-following networks
This paper proposes a learning-based fully distributed observer for a class of nonlinear leader systems, which can simultaneously learn the leader's dynamics and states.
Distributed Time- and Event-Triggered Observers for Linear Systems: Non-Pathological Sampling and Inter-Event Dynamics
For an autonomous linear time-invariant (LTI) system, a distributed observer with time-triggered periodic observations and event-triggered communication is proposed to estimate the state of the system.
Adaptive Cooperative Tracking and Parameter Estimation of an Uncertain Leader over General Directed Graphs
Distributed adaptive observers are designed for all follower nodes, simultaneously estimate the state and parameters of the leader node.
